A Patch-Based Low-Rank Minimization Approach for Speckle Noise Reduction in Ultrasound Images
From MaRDI portal
Publication:5032345
DOI10.4208/aamm.OA-2021-0011MaRDI QIDQ5032345
Sheng-Tai Lu, Jun Liu, Xiao-Guang Lv, Fang Li
Publication date: 16 February 2022
Published in: Advances in Applied Mathematics and Mechanics (Search for Journal in Brave)
Related Items (1)
Uses Software
Cites Work
- Unnamed Item
- Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
- A convex total generalized variation regularized model for multiplicative noise and blur removal
- Second order total generalized variation for Speckle reduction in ultrasound images
- Speckle noise removal in ultrasound images by first- and second-order total variation
- Speckle noise reduction via nonconvex high total variation approach
- A variational model to remove the multiplicative noise in ultrasound images
- Cauchy noise removal by weighted nuclear norm minimization
- Restoration of images corrupted by mixed Gaussian-impulse noise via \(l_{1}-l_{0}\) minimization
- Low rank prior and total variation regularization for image deblurring
- Total generalized variation based denoising models for ultrasound images
- Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
- An iterative decoupled method with weighted nuclear norm minimization for image restoration
- A Modulus Iteration Method for SPSD Linear Complementarity Problem Arising in Image Retinex
- Non-Convex and Convex Coupling Image Segmentation via TGpV Regularization and Thresholding
- An Improved Variational Model and Its Numerical Solutions for Speckle Noise Removal from Real Ultrasound Images
- Restoration of Poissonian Images Using Alternating Direction Optimization
- Multiplicative Noise Removal via a Learned Dictionary
This page was built for publication: A Patch-Based Low-Rank Minimization Approach for Speckle Noise Reduction in Ultrasound Images
